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Automation of a Wheelchair using Hybrid BCI System

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  • Vandana Akshath Raj

Abstract

To translate brain activity signals into control signals for external devices a system called Brain–computer interface (BCI) is used. It is difficult for current BCI systems to provide the multiple independent control signals necessary for the multi-degree continuous control of a wheelchair. The present paper address this challenge by adopting the motor imagery based mu rhythm and the P300 potential to control a brain-actuated real time wheelchair. The main objective of the present work is to provide a greater number of commands for a wheelchair with increased accuracy to the user.

Suggested Citation

  • Vandana Akshath Raj, 2018. "Automation of a Wheelchair using Hybrid BCI System," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 3(3), pages 29-34, April.
    • Handle: RePEc:jbh:ijsrcs:v3:y2018:i3:id:hcseit183328
    Note: Article URL: https://ijsrcseit.com/CSEIT183328
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